Deskripsi Pekerjaan
Join Xurpas Inc. as a BigQuery Data Engineer and become a key player in transforming raw data into strategic business insights. We're seeking a skilled professional to design, develop, and optimize data pipelines on Google Cloud Platform (GCP). You'll architect scalable data solutions that power our marketing analytics and business intelligence initiatives, ensuring seamless data flow from extraction to visualization.
In this role, you'll collaborate with cross-functional teams to implement robust ETL processes, maintain data integrity across large datasets, and leverage BigQuery's capabilities for real-time analytics. You'll have the opportunity to work with cutting-edge cloud technologies while optimizing data infrastructure for performance and cost-efficiency. If you're passionate about solving complex data challenges and driving data-driven decision-making, this is your chance to make a significant impact.
Xurpas Inc. offers a dynamic environment where innovation meets execution. We value technical expertise and creative problem-solving, providing you with the platform to grow your career in data engineering while contributing to our mission of delivering exceptional digital solutions.
Tanggung Jawab
- Design, implement, and maintain scalable data pipelines using Google Cloud Platform services, particularly BigQuery
- Develop and optimize data models to support marketing analytics and business intelligence requirements
- Create and manage ETL processes for large datasets ensuring data quality and consistency
- Collaborate with stakeholders to translate business requirements into technical data solutions
- Monitor and optimize data infrastructure for performance, cost-efficiency, and security
- Implement data governance policies and ensure compliance with data privacy standards
- Support data visualization initiatives by preparing structured datasets for analytics tools
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
- Minimum 3 years of experience in data engineering with strong focus on Google Cloud Platform
- Expert proficiency in SQL and experience with data modeling techniques
- Hands-on experience with BigQuery, Dataflow, and other GCP data services
- Familiarity with ETL tools (e.g., Apache Beam, Cloud Data Fusion) and data warehousing concepts
- Knowledge of scripting languages (Python, Bash) for data automation
- Experience with data visualization tools (Tableau, Looker) and BI platforms
- Strong problem-solving skills with ability to optimize data workflows